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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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/PhD Degree Experience Background in cardiac biology, neurobiology, bioengineering, or related field Molecular biology Background in electrophysiology preferred but not required Skills Skills in mouse
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to work independently in team-oriented projects, and are consistent, responsible and accurate for scientific research. As part of the Multi-Ethnic Study of Atherosclerosis (MESA), successful candidates will
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. Occupational Summary Conduct independent research activities under the guidance of a faculty mentor in preparation for a academic or research career. Work Performed A Postdoctoral position at Duke University is
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factors associated with successful colonization of Lactobacillus crispatus in the vaginal and urinary microbiome, using biospecimens from an interventional trial. · Humanized Mouse Model of UTI: We use germ
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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inhalation exposures. We use in vitro, rodent, and non-rodent models to achieve our study objectives. We will employ various techniques/methods such as ELISA, multiplex MSD panel assays, flow cytometry, bulk
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of responsible conduct in research. Comply with good scholarly and research practice. Adhere to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like
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parameter estimation and uncertainty quantification. Work collaboratively with experimentalists and data scientists. Prepare code, figures, and documentation for publications and presentations. Minimum